Micael Jarniac
Data Engineer
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolMicael Jarniac is a Data Engineer based in São Paulo with eight years of hands-on experience building reliable data solutions and supporting IT operations. Since 2020 he has been shaping data workflows at TRACTIAN while also pursuing creative ventures as a professional photographer, reflecting a blend of technical rigor and visual sensitivity. His background in computer systems and industrial mechatronics gives him a practical, systems-oriented approach to engineering problems. He contributes to open-source documentation for pandas, improving clarity and accuracy in one of the most widely used Python data libraries—an indication of attention to detail that shows up in both code and prose. Comfortable toggling between production data pipelines and client-facing creative work, he brings curiosity and a communicator’s mindset to cross-functional collaboration.
8 years of coding experience
Bachelor of Technology - BTech Computer Systems Analysis, Bachelor of Technology - BTech Computer Systems Analysis at Fatec Mogi Mirim - Arthur de Azevedo
English, Portuguese
Stackoverflow
351reputation
23kreached
10answers
4questions
Github Skills (11)
pandas10
documentation10
data-analysis8
visual-studio-code6
mypy6
static-typing6
python-sphinx6
csv6
indexing6
python6
package6
Programming languages (23)
Github contributions (5)
pandas-dev/pandas
Sep 2020 - Jan 2021
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Technical Writer
Technical WriterContributions:3 reviews, 6 commits, 7 PRs in 3 months
Contributions summary:Micael primarily contributed to the pandas project by correcting typos and improving documentation. These changes were applied across various documentation files and docstrings, focusing on clarity and accuracy. The user's work directly addressed grammatical errors and inconsistencies, enhancing the overall quality and readability of the project's documentation.
pythondatalabeled-datamanipulationdataframes
trag1c/pep-tracker
Mar 2023 - May 2024
A simple tool for checking PEP status updates.
Contributions:25 reviews, 1 PR, 27 comments in 1 year 1 month
clipeppython
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